Lab Automation

'Big Data' – Challenge or Chance for Lab Automation?

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Insilico Biotechnology operates one of the world’s leading system biology platforms that draws together proprietary databases, cell models and computer-based analysis. The goals are validation of active ingredients and production of biochemicals and biopharmaceuticals.

Highly Versatile Data Analysis

Data management designed for the long term is essential for labs that use automation systems. The data must be available in a variety of formats to support data exchange with other labs as well as for distributed access to the lab’s own data. Researchers should be able to use the data that is captured in the lab for automatic analysis and graphic representation.

Without the need to invest significant amounts of time and money, the results of completed test series can be retrieved for future experiments and analyses, and the results can be also made available to other labs. Data analysis in an interdisciplinary context, for example, the use of special data mining algorithms is gaining momentum in biosciences.

Analytica 2014: Career Day and Laboratory Technology
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Data mining techniques create new opportunities to detect medical risks. It can also produce tangible value-add in practical healthcare delivery. Comparative prophylaxis, diagnostic and therapeutic data can be accessed for the patient’s benefit at the time when it is needed and analyzed in the overall context.

SiLA Initiative to Create Uniform Standards

A heterogeneous assortment of specialized equipment is currently installed in numerous biotechnology, pharmaceutical and clinical diagnostics labs. The IT infrastructure has developed over a period of time, and tends to be disjointed or poorly coordinated. Device drivers and platforms, which are based on uniform standards and can be addressed by products from any manufacturer, create the opportunity to integrate this heterogeneous equipment. To develop sustainable IT solutions for automated lab environments, systems manufacturers, software service providers, system integrators, pharmaceutical and biotechnology companies have joined forces in the SiLA Initiative (Standardization in Lab Automation) to create authoritative standards.

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